In order to identify key nations and bird species of conservation concern we described multinational collaborations as defined using network analysis linked by birds that are found in all nations in the network. We used network analysis to assess the patterns in bird occurrence for 10,422 bird inventories from 244 countries and territories. Nations that are important in multinational collaborations for bird conservation were assessed using the centrality measures, closeness and betweenness centrality. Countries important for the multinational collaboration of bird conservation were examined based on their centrality measures, which included closeness and betweenness centralities. Comparatively, the co-occurrence network was divided into four groups that reveal different biogeographical structures. A group with higher closeness centrality included countries in southern Africa and had the potential to affect species in many other countries. Birds in countries in Asia, Australia and the South Pacific that are important to the cohesiveness of the global network had a higher score of betweenness centrality. Countries that had higher numbers of bird species and more extensively distributed bird species had higher centrality scores; in these countries, birds may act as excellent indicators of trends in the co-occurrence bird network. For effective bird conservation in the world, much stronger coordination among countries is required. Bird co-occurrence patterns can provide a suitable and powerful framework for understanding the complexity of co-occurrence patterns and consequences for multinational collaborations on bird conservation.

Defects of zeolite membranes often lower their separation performance. Thus, the investigation of the defects is highly critical in achieving high separation performance. While general characterization methods (e.g. scanning electron microscopy; SEM) that examine the membrane surface cannot detect defects, the FCOM measurement is able to identify the defective structure inside the zeolite membrane using dye molecules of appropriate size [1]. In this work, various dyeing conditions (times and concentrations) were applied to a MFI zeolite membrane in an attempt to investigate the defective structure. Furthermore, the quantitative analysis is practiced to measure the defects in numerical form.

Defects of zeolite membranes often lower their separation performance. Thus, the investigation of the defects is highly critical in achieving high separation performance. While general characterization methods (e.g. scanning electron microscopy; SEM) that examine the membrane surface cannot detect defects, the FCOM measurement is able to identify the defective structure inside the zeolite membrane using dye molecules of appropriate size [1]. In this work, various dyeing conditions (times and concentrations) were applied to a MFI zeolite membrane in an attempt to investigate the defective structure. Furthermore, the quantitative analysis is practiced to measure the defects in numerical form.